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Decision-making as a term is a scientific process when that decision will affect a policy affecting an entity. Decision-making models are used as a method and process to fulfill the following objectives: Every team member is clear about how a decision will be made; The roles and responsibilities for the decision making
A decision model may also be a network of connected decisions, information and knowledge that represents a decision-making approach that can be used repeatedly (such as one developed using the Decision Model and Notation standard). Excepting very simple situations, successful action axioms are used in an iterative manner.
Poole's multiple sequence model states that different groups make decisions through the applications of different sequences. This model rejects the idea that decision making occurs in separate, succinct phases, as other rational phase models suggest. [1] Rather, Poole theorized that decision making occurs in clusters of linking communication.
Victor Vroom, a professor at Yale University and a scholar on leadership and decision-making, developed the normative model of decision-making. [1] Drawing upon literature from the areas of leadership, group decision-making, and procedural fairness, Vroom’s model predicts the effectiveness of decision-making procedures. [2]
Its purpose is to enable scholars to explain a broader spectrum of decision-making. [1]: 25 The theory is developed in four main steps: The first part defines "emotion" and specifies the model’s main assumptions. The second part outlines how culture shapes emotions, while the third part delineates how emotions influence decision-making.
The Brown–Gibson model is one of the many techniques for multi-attribute decision making. The method was developed in 1972 by P. Brown and D. Gibson. [1] This is one of the few models which integrates both objective and subjective factors in decision making. The Brown–Gibson model can be mathematically represented as follows:
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Decision field theory; Decision-making models; Decision management; Decision model; Decision rule; Decision Sciences Institute; Decision Sciences Journal of Innovative Education; Template:Decision theory; Decision-theoretic rough sets; Decoy effect; Default effect; Description-experience gap; Distinction bias; Dominating decision rule